Artificial Neural Network 简明教程

Artificial Neural Networks Tutorial

人工神经网络是并行计算设备，它基本上是想要构建大脑的计算机模型的一种尝试。其主要目标是开发出执行各种计算任务的速度比传统系统更快的系统。本教程涵盖了人工神经网络涉及的基本概念和术语。本教程的部分还说明了人工智能网络中使用的各种网络的架构和训练算法。

Artificial Neural Networks are parallel computing devices, which are basically an attempt to make a computer model of the brain. The main objective is to develop a system to perform various computational tasks faster than the traditional systems. This tutorial covers the basic concept and terminologies involved in Artificial Neural Network. Sections of this tutorial also explain the architecture as well as the training algorithm of various networks used in ANN.

Audience

本教程对对此主题感兴趣或将其作为课程内容一部份的毕业生、研究生或研究学生有用。读者可以是初学者或高阶学习者。

This tutorial will be useful for graduates, post graduates, and research students who either have an interest in this subject or have this subject as a part of their curriculum. The reader can be a beginner or an advanced learner.

Prerequisites

人工神经网络 (ANN) 是一个高级主题，因此读者必须具备算法、编程和数学方面的基本知识。

Artificial Neural Networks (ANN) is an advanced topic, hence the reader must have basic knowledge of Algorithms, Programming, and Mathematics.